Artificial Intelligence (AI) is beginning to play a key role in the field of medical diagnostics. This article examines the significance of AI technologies in automating disease detection, diagnosis, and treatment processes. It analyzes how machine learning, neural networks, and data processing algorithms enhance the efficiency of medical image analysis, biomarker identification, and clinical decision support systems. Additionally, the advantages and limitations of AI-based diagnostic methods, as well as the ethical and legal issues related to their implementation, are discussed. The article also explores promising directions for the use of artificial intelligence in medicine.
Farida Muroddinova , USING ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS , Journal of Applied Science and Social Science: Vol. 1 No. 2 (2025): Journal of Applied Science and Social Science
Farida Muroddinova , OBJECTIVES AND TASKS OF BIOTECHNOLOGY: GENETIC EDITING AND CRISPR TECHNOLOGY , Journal of Applied Science and Social Science: Vol. 1 No. 2 (2025): Journal of Applied Science and Social Science
Copyright (c) 2025 Farida Muroddinova
This work is licensed under a Creative Commons Attribution 4.0 International License.
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